Research Scientist Intern (Foundational Research, Machine Learning)
Apply remote type Remote Job: Hybrid locations GBR-London-5 Canada Square time type Full time posted on Posted 30+ Days Ago job requisition id JREQ184874
Are you a curious and open-minded individual with an interest in state-of-the-art foundational machine learning research? Thomson Reuters Labs is seeking a Research Scientist Intern with a passion for solving challenging machine learning problems in a data-rich, complex academic environment.
About the Role
In this opportunity, as Research Scientist Intern you will:
1. Innovate: You will have the opportunity to try new and/or innovate new ML/NLP/IR/GenAI approaches and enjoy mentoring by world-leading experts. You will contribute ideas and work on solving real-world challenges using a wealth of data not otherwise available.
2. Experiment and Develop: You can be involved in the entire research & model development lifecycle, brainstorming, building, testing, and delivering high-quality reports at leading international academic conferences.
3. Collaborate: Working on a collaborative global team of research engineers both within Thomson Reuters and our academic partners at world-leading universities.
About You
You're a fit for the role of Research Scientist Intern if your background includes:
Required qualifications:
* PhD student or recent graduate with research experience in a technical discipline.
* First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, or similar.
* Excellent communication skills to report and present research findings and developments clearly, both orally and in writing.
* Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems.
* Self-driven attitude and ability to work with limited supervision.
* Comfortable in working in fast-paced, agile environments, managing uncertainty and ambiguity.
Preferred qualifications:
* Experience working on relevant state-of-the-art research topics in large language models (LLMs) such as alignment, hallucination detection and reduction, model compression, data-centric techniques, efficient fine-tuning, long context length, synthetic data, combination of LLMs with knowledge graphs etc.
* Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
* Previous experience working on large-scale machine learning systems.
* Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular open-source libraries.
Other key points:
Plenty of data, compute, and high-impact problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers.
What's in it For You?
* Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles.
* Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance.
* Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion.
* Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company.
* Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually.
Do you want to be part of a team helping re-invent the way knowledge professionals work? Join us and help shape the industries that move society forward.
Accessibility
As a global business, we rely on diversity of culture and thought to deliver on our goals. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
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